Valvular & structural heart disease
Prediction of Heart Failure Hospitalization or Death After TAVR
Authors' conclusion
This prediction model effectively stratifies post-transcatheter aortic valve replacement patients by risk of death or HF readmission, supporting its use to guide clinical surveillance and clinical trial enrollment for adjunctive medical therapies aimed at mitigating this risk.
Study context
- Population
- Patients with successful TAVR for AS who survived to discharge, 2016–2019
- Participants
- 78,384 patients
- Outcome
- Composite of:
- All-cause death
- ≥2 HF readmissions
- 1 HF readmission
- Follow-up
- 1 year
Methodological detailsregistry-based, STS/ACC TVT Registry, hierarchical cumulative odds regression model
- Registry-based
- STS/ACC TVT Registry
- Hierarchical cumulative odds regression model
Performance
As reported in the abstract
Model performance
- C statistic, derivation
- 0.753
- C statistic, validation
- 0.747
- Composite outcome
- 17.4%
- Death
- 10.9%
- ≥2 heart failure (HF) readmissions
- 1.6%
- 1 HF readmission
- 4.9%
Further findings
HF readmission as isolated outcome (1-year survivors)
- C statistic
- 0.753
Simplified model (top 12 variables)
- C statistics
- 0.74-0.75
Original publication
Prediction of Heart Failure Hospitalization or Death After TAVR. Circ Cardiovasc Interv. Published 31 December 2025. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →